Robustness under parameter and problem domain alterations of Bayesian optimization methods for chemical reactions. (2022)
Attributed to:
Artificial and Augmented Intelligence for Automated Scientific Discovery
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1186/s13321-022-00641-4
PubMed Identifier: 36050750
Publication URI: http://europepmc.org/abstract/MED/36050750
Type: Journal Article/Review
Volume: 14
Parent Publication: Journal of cheminformatics
Issue: 1
ISSN: 1758-2946